Azure Data Engineer - Dallas, Texas

QTech • Dallas, TX

1d • Onsite

About The Position

This role involves designing, developing, and maintaining scalable data pipelines and architectures on the Azure Cloud. The engineer will implement and manage Azure Data Lake solutions for storing and processing large data volumes, utilize Databricks for data processing, transformation, and analytics, and develop ETL processes using Azure Data Factory. Responsibilities also include writing efficient SQL queries, working with relational databases, collaborating with stakeholders, monitoring and troubleshooting data pipelines, and implementing data security and compliance measures.

Requirements

• A bachelor's degree in computer science, Information Technology, or a related field is required.
• 8 years of Data Engineering experience with a focus on Azure Cloud services for 2-3+ years.
• 3-5+ years of experience working with Azure Data Lake.
• 3-5+ years of Python for data processing and automation.
• 2+ years of Databricks experience.
• 1-2+ years of Azure Data Factory (ADF) for extra, transfer, load process.
• 5+ years of SQL and prior experience with other ETL processes such as SSIS.
• Familiarity with data governance and security is the best practice.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

Nice To Haves

• Master's degree in a related field.
• Certification in Azure Data Engineering or related Azure certifications.
• Experience with other Azure services such as Azure Synapse Analytics, Azure Machine Learning, etc.
• Knowledge of big data technologies like Hadoop, Spark, etc.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures on Azure Cloud.
• Implement and manage Azure Data Lake solutions to store and process large volumes of data.
• Utilize Databricks for data processing, transformation, and analytics.
• Develop and maintain ETL processes using Azure Data Factory.
• Write efficient and optimized SQL queries to extract, transform, and load data.
• Work with relational databases to ensure data integrity and performance.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Implement data security and compliance measures in accordance with industry standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior